Tomasz Rutkowski, Research Scientist of the Cognitive Behavioral Assistive Technology Team at RIKEN AIP has published a research paper titled “Mild cognitive impairment prediction and cognitive score regression in the elderly using EEG topological data analysis and machine learning with awareness assessed in affective reminiscent paradigm” in Frontiers in Aging Neuroscience, a peer-reviewed scientific journal.
Tomasz Rutkowski（RIKEN AIP/ The University of Tokyo/ Nicolaus Copernicus University)
Tomasz Komendzinski(Nicolaus Copernicus University)
Mihoko Otake-Matsuura（RIKEN AIP）
The main objective of this study is to evaluate working memory and determine EEG biomarkers that can assist in the field of health neuroscience. Our ultimate goal is to utilize this approach to predict the early signs of mild cognitive impairment (MCI) in healthy elderly individuals, which could potentially lead to dementia. The advancements in health neuroscience research have revealed that affective reminiscence stimulation is an effective method for developing EEG-based neuro-biomarkers that can detect the signs of MCI.
For more information, please see the following website.
Frontiers in Aging Neuroscience